Yanting Pei
Impact in
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- Advanced Neural Network Applications
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Advanced Image Processing Techniques 4
- Image Enhancement Techniques 3
- Image and Signal Denoising Methods 2
- Advanced Image and Video Retrieval Techniques 2
- Video Surveillance and Tracking Methods 2
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- Domain Adaptation and Few-Shot Learning 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Song Wang (4 shared papers)Yaping Huang (5 shared papers)Xingyuan Zhang (4 shared papers)Qi Zou (4 shared papers)Yuhang Lu (1 shared paper)Dazhou Guo (1 shared paper)Kang Zheng (1 shared paper)Hongkai Yu (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)Applied Intelligence (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (1 paper)Journal of Visual Communication and Image Representation (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yanting Pei
8 papers receiving 309 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 222
- Media Technology 60
- Industrial and Manufacturing Engineering 19
- Artificial Intelligence 59
- Geology 10
Countries citing papers authored by Yanting Pei
This map shows the geographic impact of Yanting Pei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yanting Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanting Pei more than expected).
Fields of papers citing papers by Yanting Pei
This network shows the impact of papers produced by Yanting Pei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yanting Pei. The network helps show where Yanting Pei may publish in the future.
Co-authors
The 22 scholars most cited alongside Yanting Pei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 170 | |
| 2 | 2019 | 44 | |
| 3 | 2019 | 33 | |
| 4 | 2022 | 25 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 1 | |
| 9 | 2024 | 0 |
About Yanting Pei
Yanting Pei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Media Technology and Human-Computer Interaction, having authored 9 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (4 papers), Image Enhancement Techniques (3 papers), Image and Signal Denoising Methods (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Hand Gesture Recognition Systems (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Media Technology (60 citations), Industrial and Manufacturing Engineering (19 citations), Artificial Intelligence (59 citations) and Geology (10 citations). Yanting Pei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Song Wang, Yaping Huang, Xingyuan Zhang, Qi Zou, Yuhang Lu, Dazhou Guo, Kang Zheng, Hongkai Yu, Runsheng Zhang and Hongwei Zhao. Their work appears in journals such as Pattern Recognition Letters, Applied Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of Visual Communication and Image Representation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.